Deep learning detects heart failure with preserved ejection fraction using a baseline electrocardiogram

AIMS : Heart failure with preserved ejection fraction (HFpEF) is a rapidly growing global health problem. To date, diagnosis of HFpEF is based on clinical, invasive, and laboratory examinations. Electrocardiographic findings may vary, and there are no known typical ECG features for HFpEF. METHODS AN...

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Detalles Bibliográficos
Autores principales: Unterhuber, Matthias, Rommel, Karl-Philipp, Kresoja, Karl-Patrik, Lurz, Julia, Kornej, Jelena, Hindricks, Gerhard, Scholz, Markus, Thiele, Holger, Lurz, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Short Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707942/
https://www.ncbi.nlm.nih.gov/pubmed/36713109
http://dx.doi.org/10.1093/ehjdh/ztab081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707942/
https://www.ncbi.nlm.nih.gov/pubmed/36713109
http://dx.doi.org/10.1093/ehjdh/ztab081

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